欧洲ETF因子敞口:基于回归和持股的分析证据

Q4 Economics, Econometrics and Finance Journal of Index Investing Pub Date : 2019-04-13 DOI:10.3905/jii.2019.1.067
Philipp A. Dirkx
{"title":"欧洲ETF因子敞口:基于回归和持股的分析证据","authors":"Philipp A. Dirkx","doi":"10.3905/jii.2019.1.067","DOIUrl":null,"url":null,"abstract":"The article analyzes factor exposures of European equity exchange-traded funds (ETFs) according to 10-year regressions and a holdings-based analysis. While smart beta ETFs target certain factors explicitly, they and conventional market-capitalization-weighted ETFs (conventional ETFs) both can carry implicit exposures, too. The analysis shows that especially various sector ETFs carry strong regression-based factor exposures, which are only partially mirrored from a holdings-based view. Collectively, the conventional and smart beta ETFs show various significant factor loadings, which are mostly backed by the holdings-based analysis. Translating the flows in smart beta ETFs into a form of factor timing of market participants, the asset-weighted smart beta aggregate outperformed the market on an absolute and risk-adjusted basis. TOPICS: Analysis of individual factors/risk premia, exchange-traded funds and applications, developed markets, performance measurement","PeriodicalId":36431,"journal":{"name":"Journal of Index Investing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3905/jii.2019.1.067","citationCount":"0","resultStr":"{\"title\":\"European ETF Factor Exposures: Evidence from a Regression- and Holdings-Based Analysis\",\"authors\":\"Philipp A. Dirkx\",\"doi\":\"10.3905/jii.2019.1.067\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article analyzes factor exposures of European equity exchange-traded funds (ETFs) according to 10-year regressions and a holdings-based analysis. While smart beta ETFs target certain factors explicitly, they and conventional market-capitalization-weighted ETFs (conventional ETFs) both can carry implicit exposures, too. The analysis shows that especially various sector ETFs carry strong regression-based factor exposures, which are only partially mirrored from a holdings-based view. Collectively, the conventional and smart beta ETFs show various significant factor loadings, which are mostly backed by the holdings-based analysis. Translating the flows in smart beta ETFs into a form of factor timing of market participants, the asset-weighted smart beta aggregate outperformed the market on an absolute and risk-adjusted basis. TOPICS: Analysis of individual factors/risk premia, exchange-traded funds and applications, developed markets, performance measurement\",\"PeriodicalId\":36431,\"journal\":{\"name\":\"Journal of Index Investing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.3905/jii.2019.1.067\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Index Investing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3905/jii.2019.1.067\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Index Investing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3905/jii.2019.1.067","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0

摘要

本文根据10年回归和基于持股的分析,分析了欧洲股票交易所交易基金(ETF)的因子敞口。虽然智能贝塔ETF明确针对某些因素,但它们和传统市值加权ETF(传统ETF)也都可能存在隐性风险。分析表明,尤其是各种行业的ETF都有很强的基于回归的因素敞口,而从基于持股的角度来看,这只是部分反映。总的来说,传统和智能贝塔ETF显示出各种显著的因子负载,这主要由基于持股的分析支持。将智能贝塔ETF的流量转化为市场参与者的一种因素时机,资产加权的智能贝塔综合指数在绝对和风险调整的基础上跑赢了市场。主题:分析个别因素/风险溢价、交易所交易基金和应用、发达市场、业绩衡量
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
European ETF Factor Exposures: Evidence from a Regression- and Holdings-Based Analysis
The article analyzes factor exposures of European equity exchange-traded funds (ETFs) according to 10-year regressions and a holdings-based analysis. While smart beta ETFs target certain factors explicitly, they and conventional market-capitalization-weighted ETFs (conventional ETFs) both can carry implicit exposures, too. The analysis shows that especially various sector ETFs carry strong regression-based factor exposures, which are only partially mirrored from a holdings-based view. Collectively, the conventional and smart beta ETFs show various significant factor loadings, which are mostly backed by the holdings-based analysis. Translating the flows in smart beta ETFs into a form of factor timing of market participants, the asset-weighted smart beta aggregate outperformed the market on an absolute and risk-adjusted basis. TOPICS: Analysis of individual factors/risk premia, exchange-traded funds and applications, developed markets, performance measurement
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Index Investing
Journal of Index Investing Economics, Econometrics and Finance-Finance
CiteScore
0.70
自引率
0.00%
发文量
0
期刊最新文献
Refusal as Repair Australia in the World’s Art Colonies 1900—Pyrrhic Victory Fugitive Abstraction Destruction or Secession?
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1